



'''simple docstring'''






from collections.abc import Generator
from math import sin
def  lowerCamelCase__			(		_A							):
  if len(_A							) != 32:
    raise ValueError('Input must be of length 32'							)

  a		:   Dict	  =	B''
  for i in [3, 2, 1, 0]:
    little_endian += string_aa[8 * i : 8 * i + 8]
  return little_endian
def  lowerCamelCase__			(		_A							):
  if i < 0:
    raise ValueError('Input must be non-negative'							)

  a		:   Optional[Any]	  =	format(_A					,     '08x'							)[-8:]
  a		:   str	  =	B''
  for i in [3, 2, 1, 0]:
    little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('utf-8'							)
  return little_endian_hex
def  lowerCamelCase__			(		_A							):
  a		:   Union[str, Any]	  =	B''
  for char in message:
    bit_string += format(_A					,     '08b'							).encode('utf-8'							)
  a		:   Tuple	  =	format(len(_A							)					,     '064b'							).encode('utf-8'							)

  # Pad bit_string to a multiple of 512 chars
  bit_string += b"1"
  while len(_A							) % 512 != 448:
    bit_string += b"0"
  bit_string += to_little_endian(start_len[32:]							) + to_little_endian(start_len[:32]							)

  return bit_string
def  lowerCamelCase__			(		_A							):
  if len(_A							) % 512 != 0:
    raise ValueError('Input must have length that\'s a multiple of 512'							)

  for pos in range(0					,     len(_A							)					,     512							):
    a		:   str	  =	bit_string[pos : pos + 512]
    a		:   Optional[int]	  =	[]
    for i in range(0					,     512					,     32							):
      block_words.append(int(to_little_endian(block[i : i + 32]							)					,     2							)							)
    yield block_words
def  lowerCamelCase__			(		_A							):
  if i < 0:
    raise ValueError('Input must be non-negative'							)

  a		:   Optional[Any]	  =	format(_A					,     '032b'							)
  a		:   Dict	  =	''
  for c in i_str:
    new_str += "1" if c == "0" else "0"
  return int(_A					,     2							)
def  lowerCamelCase__			(		_A					,     _A							):
  return (a + b) % 2**32
def  lowerCamelCase__			(		_A					,     _A							):
  if i < 0:
    raise ValueError('Input must be non-negative'							)
  if shift < 0:
    raise ValueError('Shift must be non-negative'							)
  return ((i << shift) ^ (i >> (32 - shift))) % 2**32
def  lowerCamelCase__			(		_A							):
  a		:   List[Any]	  =	preprocess(_A							)

  a		:   str	  =	[int(2**32 * abs(sin(i + 1							)							)							) for i in range(64							)]

  # Starting states
  a		:   int	  =	0X67_452_301
  a		:   Any	  =	0XEF_CDA_B89
  a		:   Union[str, Any]	  =	0X98_BAD_CFE
  a		:   str	  =	0X10_325_476

  a		:   Dict	  =	[
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      7,
      12,
      17,
      22,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      5,
      9,
      14,
      20,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      4,
      11,
      16,
      23,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
      6,
      10,
      15,
      21,
  ]

  # Process bit string in chunks, each with 16 32-char words
  for block_words in get_block_words(_A							):
    a		:   List[Any]	  =	aa
    a		:   Dict	  =	ba
    a		:   Dict	  =	ca
    a		:   Dict	  =	da

    # Hash current chunk
    for i in range(64							):
      if i <= 15:
        # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
        a		:   int	  =	d ^ (b & (c ^ d))
        a		:   Optional[int]	  =	i
      elif i <= 31:
        # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
        a		:   Any	  =	c ^ (d & (b ^ c))
        a		:   Any	  =	(5 * i + 1) % 16
      elif i <= 47:
        a		:   Dict	  =	b ^ c ^ d
        a		:   Union[str, Any]	  =	(3 * i + 5) % 16
      else:
        a		:   Union[str, Any]	  =	c ^ (b | not_aa(_A							))
        a		:   str	  =	(7 * i) % 16
      a		:   int	  =	(f + a + added_consts[i] + block_words[g]) % 2**32
      a		:   List[str]	  =	d
      a		:   Union[str, Any]	  =	c
      a		:   Dict	  =	b
      a		:   str	  =	sum_aa(_A					,     left_rotate_aa(_A					,     shift_amounts[i]							)							)

    # Add hashed chunk to running total
    a		:   Optional[int]	  =	sum_aa(_A					,     _A							)
    a		:   Any	  =	sum_aa(_A					,     _A							)
    a		:   Optional[Any]	  =	sum_aa(_A					,     _A							)
    a		:   Optional[int]	  =	sum_aa(_A					,     _A							)

  a		:   int	  =	reformat_hex(_A							) + reformat_hex(_A							) + reformat_hex(_A							) + reformat_hex(_A							)
  return digest


if __name__ == "__main__":
     import doctest

     doctest.testmod()




'''simple docstring'''






import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler

class 				a__:







    def __init__( self					:    List[Any]		,     __snake_case					:    str      ):
      if isinstance(__snake_case		,     __snake_case      ):
        # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
        # modified it, it will not be accepted here again, since `auto` values would have been overridden
        a		:   Union[str, Any]	  =	deepcopy(__snake_case      )
      elif os.path.exists(__snake_case      ):
        with io.open(__snake_case		,     'r'		,     encoding='utf-8'      ) as f:
          a		:   List[str]	  =	json.load(__snake_case      )
      else:
        try:
          a		:   str	  =	baseaa.urlsafe_baadecode(__snake_case      ).decode('utf-8'      )
          a		:   Union[str, Any]	  =	json.loads(__snake_case      )
        except (UnicodeDecodeError, AttributeError, ValueError):
          raise ValueError(
              F"""Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}"""      )

      a		:   Optional[int]	  =	config

      self.set_stage_and_offload()







    def      lowercase_			( self					:    Any      ):
      # zero stage - this is done as early as possible, before model is created, to allow
      # ``is_deepspeed_zero3_enabled`` query and getting to the early deepspeed config object
      # during ``zero.Init()`` which needs to know the dtype, and some other hparams.
      a		:   List[str]	  =	self.get_value('zero_optimization.stage'		,     -1      )

      # offload
      a		:   Union[str, Any]	  =	False
      if self.is_zeroa() or self.is_zeroa():
        a		:   Any	  =	set(['cpu', 'nvme']      )
        a		:   Tuple	  =	set(
            [
                self.get_value('zero_optimization.offload_optimizer.device'      ),
                self.get_value('zero_optimization.offload_param.device'      ),
            ]      )
        if len(offload_devices & offload_devices_valid      ) > 0:
          a		:   Optional[int]	  =	True







    def      lowercase_			( self					:    str		,     __snake_case					:    Optional[Any]      ):
      a		:   Any	  =	self.config

      # find the config node of interest if it exists
      a		:   Dict	  =	ds_key_long.split('.'      )
      a		:   str	  =	nodes.pop()
      for node in nodes:
        a		:   Tuple	  =	config.get(__snake_case      )
        if config is None:
          return None, ds_key

      return config, ds_key







    def      lowercase_			( self					:    int		,     __snake_case					:    Optional[int]		,     __snake_case					:    List[str]=None      ):
      a  ,      a		:   int	  =	self.find_config_node(__snake_case      )
      if config is None:
        return default
      return config.get(__snake_case		,     __snake_case      )







    def      lowercase_			( self					:    Dict		,     __snake_case					:    List[str]		,     __snake_case					:    List[Any]=False      ):
      a		:   Union[str, Any]	  =	self.config

      # find the config node of interest if it exists
      a		:   Tuple	  =	ds_key_long.split('.'      )
      for node in nodes:
        a		:   Optional[int]	  =	config
        a		:   List[str]	  =	config.get(__snake_case      )
        if config is None:
          if must_exist:
            raise ValueError(F"""Can't find {ds_key_long} entry in the config: {self.config}"""      )
          else:
            return

        # if found remove it
      if parent_config is not None:
        parent_config.pop(__snake_case      )







    def      lowercase_			( self					:    List[str]		,     __snake_case					:    Dict      ):
      a		:   Optional[Any]	  =	self.get_value(__snake_case      )
      return False if value is None else bool(__snake_case      )







    def      lowercase_			( self					:    str		,     __snake_case					:    Optional[Any]      ):
      a		:   Optional[Any]	  =	self.get_value(__snake_case      )
      return False if value is None else not bool(__snake_case      )







    def      lowercase_			( self					:    Tuple      ):
      return self._stage == 2







    def      lowercase_			( self					:    str      ):
      return self._stage == 3







    def      lowercase_			( self					:    int      ):
      return self._offload

class 				a__:







    def __init__( self					:    str		,     __snake_case					:    Any      ):
      a		:   Any	  =	engine







    def      lowercase_			( self					:    Optional[Any]		,     __snake_case					:    int		,     **__snake_case					:    List[Any]      ):
      # runs backpropagation and handles mixed precision
      self.engine.backward(__snake_case		,     **__snake_case      )

      # Deepspeed's `engine.step` performs the following operations:
      # - gradient accumulation check
      # - gradient clipping
      # - optimizer step
      # - zero grad
      # - checking overflow
      # - lr_scheduler step (only if engine.lr_scheduler is not None)
      self.engine.step()
      # and this plugin overrides the above calls with no-ops when Accelerate runs under
      # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
      # training loop that works transparently under many training regimes.

class 				a__(   lowerCamelCase__      ):







    def __init__( self					:    Dict		,     __snake_case					:    Any      ):
      super().__init__(__snake_case		,     device_placement=__snake_case		,     scaler=__snake_case      )
      a		:   List[Any]	  =	hasattr(self.optimizer		,     'overflow'      )







    def      lowercase_			( self					:    Optional[Any]		,     __snake_case					:    str=None      ):
      pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







    def      lowercase_			( self					:    int      ):
      pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed







    @property
    def      lowercase_			( self					:    Any      ):
      if self.__has_overflow__:
        return self.optimizer.overflow
      return False

class 				a__(   lowerCamelCase__      ):







    def __init__( self					:    str		,     __snake_case					:    List[Any]		,     __snake_case					:    str      ):
      super().__init__(__snake_case		,     __snake_case      )







    def      lowercase_			( self					:    Union[str, Any]      ):
      pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed

class 				a__:







    def __init__( self					:    Optional[Any]		,     __snake_case					:    Union[str, Any]		,     __snake_case					:    int=0.001		,     __snake_case					:    Any=0		,     **__snake_case					:    List[Any]      ):
      a		:   Optional[Any]	  =	params
      a		:   Union[str, Any]	  =	lr
      a		:   Any	  =	weight_decay
      a		:   Any	  =	kwargs

class 				a__:







    def __init__( self					:    Any		,     __snake_case					:    int		,     __snake_case					:    int=None		,     __snake_case					:    Dict=0		,     **__snake_case					:    Optional[int]      ):
      a		:   Optional[int]	  =	optimizer
      a		:   List[str]	  =	total_num_steps
      a		:   Tuple	  =	warmup_num_steps
      a		:   Optional[Any]	  =	kwargs